Instructions to use r-three/lora_baseline_lr3e-4_step400_rank64_overruling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use r-three/lora_baseline_lr3e-4_step400_rank64_overruling with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "r-three/lora_baseline_lr3e-4_step400_rank64_overruling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 812f1c492fcefe84a72a417de85411da9889cf5dce95cf7858083c7b2df04f59
- Size of remote file:
- 6.35 kB
- SHA256:
- 9bedebadc8d422da7ee60cd9bf804d356b1a0650078373160549868f3e5478ad
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